STAT 118: Intro to Data Science
- Intro to R and R-Studio
- Markdown Formatting & R Chunks
- Wrangling with dplyr
- filter, select, arrange, slice, mutate
- Aggregating with summarize, group_by()
- Joining tables with dplyr
- Making plots with ggplot2
- Recall our Top 10 example:
- line graphs, histograms & boxplots
- plotting numeric data using scales, labels, jitter
- Advanced Wrangling with tidyr
- reshaping data with tidyr
- Other Useful packages
- categorical data using forcats
- Working with text with stringr
- Working with dates using lubridate
- Cleaning data using janitor
- Animating plots using gganimate
- Maps with sf
- Cloropleth Maps with maps and sf
- Plotting Points on Maps
- Webscraping with rvest
- Webscraping Tables with rvest
- Webscraping Text with rvest
STAT 116: Intro to Statistical Science
R by the Sea

Email

Other Useful packages
Cleaning data using janitor

Intro to R and R-Studio
- Markdown Formatting & R Chunks
Wrangling with dplyr
Making plots with ggplot2
Advanced Wrangling with tidyr
- reshaping data with tidyr
Other Useful packages
Maps with sf
- Cloropleth Maps with maps and sf
- Plotting Points on Maps
Webscraping with rvest
- Webscraping Tables with rvest
- Webscraping Text with rvest

Cleaning data using `janitor`

Author

Emily Malcolm-White

Artwork by @allisonhorst

Coming soon!

Made by EMW (2025)

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